Preprocessing in scikit learn - single sample - Depreciation warning

Question

On a fresh installation of Anaconda under Ubuntu... I am preprocessing my data in various ways prior to a classification task using Scikit-Learn.

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Answer 1

I faced the same issue and got the same deprecation warning. I was using a numpy array of [23, 276] when I got the message. I tried reshaping it as per the warning and end up in nowhere. Then I select each row from the numpy array (as I was iterating over it anyway) and assigned it to a list variable. It worked then without any warning.

array = []
array.append(temp[0])

Then you can use the python list object (here 'array') as an input to sk-learn functions. Not the most efficient solution, but worked for me.